code: def setUp(self):
      set_determinism(seed=0)
  
      self.data_dir = tempfile.mkdtemp()
      for i in range(40):
          im, seg = create_test_image_3d(
              128, 128, 128, num_seg_classes=1, channel_dim=-1
          )
          n = nib.Nifti1Image(im, np.eye(4))
          nib.save(n, os.path.join(self.data_dir, f"img{i:d}.nii.gz"))
          n = nib.Nifti1Image(seg, np.eye(4))
          nib.save(n, os.path.join(self.data_dir, f"seg{i:d}.nii.gz"))
  
      self.device = "cuda:0" if torch.cuda.is_available() else "cpu:0"
  
imports: from __future__ import annotations
  import os
  import shutil
  import tempfile
  import unittest
  from glob import glob
  import nibabel
  import numpy
  import torch
  import monai
  from monai.data import create_test_image_3d, decollate_batch
  from monai.inferers import sliding_window_inference
  from monai.metrics import DiceMetric
  from monai.networks import eval_mode
  from monai.networks.nets import UNet
  from monai.transforms import Activations, AsDiscrete, Compose, EnsureChannelFirstd, LoadImaged, RandCropByPosNegLabeld, RandRotate90d, SaveImage, ScaleIntensityd, Spacingd
  from monai.utils import optional_import, set_determinism
  from monai.visualize import plot_2d_or_3d_image
  from tests.testing_data.integration_answers import test_integration_value
  from tests.utils import DistTestCase, TimedCall, skip_if_quick
label_desc: Use image node_id 1 for calling the IntegrationSegmentation3D obj's underlying member method code with example usage: obj.setUp() without return types